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Pytest Jobs in Yulee, FL (NOW HIRING)

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How much do pytest jobs pay per hour?

As of May 31, 2026, the average hourly pay for pytest in Yulee, FL is $29.92, according to ZipRecruiter salary data. Most workers in this role earn between $19.33 and $39.76 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Pytest Automation Engineer, and why are they important?

To excel as a Pytest Automation Engineer, you need strong programming skills in Python, a solid understanding of software testing principles, and experience with test automation frameworks. Familiarity with Pytest, continuous integration tools (like Jenkins), and version control systems (such as Git) is typically required, along with relevant certifications in software testing or Python development. Attention to detail, analytical thinking, and effective communication help you identify issues quickly and collaborate across development teams. These abilities are crucial for ensuring software quality, speeding up release cycles, and maintaining robust, scalable test systems.

How does a Pytest automation engineer typically collaborate with developers and QA teams during a software release cycle?

As a Pytest automation engineer, you will often work closely with both developers and QA professionals throughout the software release cycle. You’ll be responsible for creating and maintaining test suites using Pytest, reviewing code changes, and ensuring that automated tests cover new features or bug fixes. Regular communication is essential, as you’ll need to report test results, discuss defects, and coordinate on test coverage or continuous integration setup. This collaborative approach helps maintain high code quality and smooth releases.

What is Pytest and what is it used for?

Pytest is a popular testing framework for Python that allows developers to write simple as well as scalable test cases. It is widely used for unit testing, functional testing, and integration testing in Python projects. Pytest makes it easy to write small tests, yet it scales to support complex functional testing for applications and libraries. Its rich plugin architecture and simple syntax make it a preferred choice for many Python developers.

What is the difference between Pytest vs Selenium Tester?

AspectPytestSelenium Tester
Primary FocusAutomated testing framework for Python codeWeb application testing using browser automation
Required SkillsPython programming, testing frameworksWeb technologies, Selenium WebDriver, scripting
Work EnvironmentSoftware development, QA teams, CI/CD pipelinesWeb testing, QA teams, browser environments
Common CertificationsPython certifications, testing certificationsSelenium certifications, QA certifications

Pytest is a Python testing framework used primarily for unit and integration testing of Python applications. Selenium Tester specializes in automating web browsers to test web applications. While both roles involve testing, Pytest focuses on code-level testing within Python projects, whereas Selenium Testers focus on browser-based testing of web interfaces. Understanding these differences helps teams assign the right tools and skills for their testing needs.

What cities near Yulee, FL are hiring for Pytest jobs? Cities near Yulee, FL with the most Pytest job openings:
Information Technology_USA - USA_Business Analyst

Information Technology_USA - USA_Business Analyst

Real Soft, Inc.

Jacksonville, FL • On-site

Contractor

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

ALL CAPS, NO SPACES B/T UNDERSCORES PTN_US_GBAMSREQID_
Candidate BeelineID i.e. PTN_US_9999999_SKIPJOHNSON0413
MSP Owner: Thomas Hodges
Targeted - -hr
REQUIREMENT_CITY - Hamilton, NJ - Need to work from office 3 Days a week and need to come to office for F2F Round of Interview
REQUIREMENT_ID-10734894
Role Name - Data Testing Engineer - Wealth Management Platforms
ROLE_DESCRIPTION -
Role: Senior Data Testing Engineer - Wealth Management Platforms
Focus: Business Understanding, Financial Data Validation & Automated Data Quality
About the Role
We are seeking a Senior Data Testing Engineer with a strong business and domain understanding of wealth management platforms and a passion for data quality and automation. This is a hands on role focused on understanding how the business operates, how financial products behave, and how data flows across systems, and then translating that understanding into effective automated data tests.
This role emphasizes business driven testing, where the engineer deeply understands products, calculations, data transformations, and downstream impact, and uses Python based data testing and automation tools (e.g., PyTest, Python DQ frameworks) to validate correctness.
You will work closely with Product, Business Analysts, Data Engineers, and Developers to ensure financial data is reliable, explainable, and trusted.
Key Responsibilities
Business & Domain Driven Data Testing
• Develop strong functional understanding of wealth management products, including:
o Accounts, positions, holdings, transactions, balances, and statements
o Fees, performance, valuations, and corporate actions
• Understand business workflows and data flows end to end, such as:
o Trade capture → booking → settlement → accounting → reporting
o Client onboarding → account setup → funding → transactions
o Market data ingestion → pricing → valuation
• Translate business rules and requirements into testable data validation scenarios
Data Testing & Reconciliation
• Design and execute data validation and reconciliation tests for:
o Financial transactions and balances
o Positions, holdings, and ledger data
o Client, account, security master, and reference data
Automation & Tooling (Python / PyTest Focus)
• Build and maintain automated data quality tests using:
o Python and PyTest
o SQL based assertions and reconciliation queries
o Python based data quality or validation frameworks
• Automate validation for:
o Databases and data stores
o APIs and backend services (data centric validation)
o File based integrations (CSV, JSON, XML)
• Integrate automated data tests into CI/CD pipelines or scheduled runs
Collaboration & Defect Analysis
• Partner with business, product, and engineering teams to:
o Clarify requirements and expected data behavior
o Investigate data issues with a business first mindset
o Provide clear explanations of data breaks and mismatches
• Document defects with business context, data evidence, and root cause insights
Required Qualifications
• 10+ years of experience in Data Testing or SDET roles with strong business and data focus
• Strong understanding of wealth management or financial services domains
• Hands on experience with:
o Python and PyTest for data testing automation
o Advanced SQL for data validation and reconciliation
• Experience validating:
o Backend systems, APIs, and integrations from a data perspective
o Batch processing and data pipelines
• Ability to understand business rules, calculations, and financial logic, not just schemas
Skills: Banking and Financial Technology
Experience Required: 10 & Above, Project Code :